Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Architect, build, and maintain enterprise data platforms and ETL/ELT pipelines using Python, SQL, Spark, and cloud services (AWS/Azure/GCP) with tools like Databricks, Snowflake, Kafka, and Airflow in an Agile consulting environment.
Designs, builds, and deploys enterprise-grade ML models and data science solutions to solve complex business problems using Python, SQL, and cloud platforms.
Design and optimize large-scale data architectures and pipelines using SQL, Python, Snowflake on Azure, Azure Data Factory, and Databricks while ensuring data quality and governance for a pharmacy benefits manager.
Senior Data Engineer designing and maintaining scalable data platforms and ETL/ELT pipelines using Python, PySpark, SQL Server, and containerized workloads (Kubernetes/Docker) in a corporate banking context.
Job Summary We are seeking an experienced Application Manager to provide technical leadership and pre-sales support for mission-critical cooling and data center infrastructure projects. The successful candidate will…
Location: Tukang, Singapore (West) Only candidates with the legal right to work in Singapore will be considered. Please note that applicants without this eligibility will not be considered. Why join Rolls-Royce? At…
The Principal or Sr Principal Data Engineer will design and develop scalable ETL pipelines and data integration solutions to support enterprise analytics. The role involves architecting data ecosystems using SQL, Python, and various data warehousing technologies in a hybrid work environment.
Leads data-driven decision-making for Autodesk’s platform by defining success metrics, driving experiments, and building AI-assisted analytical tools to extract insights from complex datasets for product, engineering, and business teams.
Design and build production NLP pipelines extracting entities, claims, and summaries from scientific text, own model evaluations end-to-end, and contribute to agentic AI applications using Python, LLMs, and orchestration tools like Airflow and Dagster.
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at…
Lead a team of data engineers to build and optimize AutoZone's GCP Data Lakehouse platform, designing end-to-end data pipelines and ensuring governance, performance tuning, and scalability using GCP, Apache Spark, Delta Lake, and PySpark.
Lead a Data Science & AI team at Synchrony Financial, prototyping and evaluating Generative AI and Agentic AI solutions (RAG, workflow automation, agentic orchestration) across AWS/Azure/GCP while driving readiness assessments and cross-functional delivery.
Be visionary Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory…
About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology of the world’s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North…
The Senior Data Engineer will design and develop scalable real-time and batch data pipelines to support eBay's global marketplace. The role involves utilizing technologies like Flink, Spark, Kafka, and Databricks to build robust data infrastructure and ensure high-fidelity data quality.
The Data Engineering Manager will lead a team responsible for building and operating scalable real-time and batch data pipelines to support eBay's global marketplace. The role involves setting technical direction and leveraging technologies like Kafka, Spark, Flink, and AWS to deliver high-quality data solutions.
The Data Engineer will design and develop scalable real-time and batch data pipelines to support eBay's global marketplace. The role involves working with technologies like Kafka, Spark, Flink, and Databricks to build robust data infrastructure and transformation workflows.
Design and build scalable batch and streaming data pipelines using Python, SQL, Pyspark, and Databricks for a car-financing company, ensuring data quality, observability, and alignment with business needs.
Manage day-to-day operations, maintenance, and monitoring of global data center physical infrastructure—including rack/cable layouts, power/cooling, Windows Server systems, and hardware lifecycle—at Pacific Life's Newport Beach, CA site, with a focus on automation and standardization.
Staff TPM leading large-scale, cross-functional ML Platform programs at Snap—hands-on technical operator using Python and SQL to drive program execution, build dashboards/automation, and partner with engineering leadership on roadmaps and architecture.
We couldn't check your fit for this role — add a CV to your profile to see it next time.